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Blog
Insights on AI for regulated industries.
Policy-driven agents, document intelligence, and enterprise automation — from the team building it.
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74 articles
Policy-Driven Automation vs. Workflow Builders
Policy-driven automation compiles business rules into execution plans, while workflow builders require teams to maintain steps, branches, and exceptions.
What Is a Policy Engine for AI Agents?
A policy engine for AI agents converts business rules into versioned execution plans with deterministic decisions, evidence trails, and human oversight.
Policy as Code vs. Policy-Driven Automation
Policy as code governs infrastructure checkpoints, while policy-driven automation compiles plain English business rules into auditable, end-to-end workflows.
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MightyBot 2025: The Year Agentic AI Became Real
How MightyBot moved agentic AI from demos to production infrastructure with policy execution, document processing, feedback, and progressive automation.
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How to Eliminate AI Hallucinations in Enterprise Workflows
Control AI hallucinations in enterprise workflows with source evidence, structured extraction, policy validation, human review, and complete audit trails.
Built's Autonomous Construction Lending Agent | MightyBot
Built's Draw Agent automates construction loan draw review with 99%+ accuracy, 95% less review time, and 400% more compliance risks detected than manual review.
Built x MightyBot Case Study: AI Draw Agent in Production
Built Technologies and MightyBot shipped Draw Agent by wrapping AI around existing systems, using daily feedback loops and a phased production rollout.
How to Make Enterprise AI Adoption Work: A Practical Guide
Enterprise AI adoption works when teams choose a measurable workflow, govern the agent, connect real data, start with human review, and scale after proof.
What PhD-Level AI Agents Mean for Business | MightyBot
PhD-level AI agents can reason across complex tasks, but business value depends on context, tools, policies, evaluation, supervision, and workflow reliability.
AI Agent Context: Why Agents Fail Without It | MightyBot
Why AI agents fail without context, and how retrieval, tools, memory, policies, permissions, evals, and audit trails make production systems reliable.
Don't Get Replaced by AI. Get Empowered by It.
AI agents reshape work by automating research, document processing, follow-up, monitoring, and policy checks while people retain judgment and accountability.